A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures

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OriginalspracheEnglisch
Seiten (von - bis)99-112
Seitenumfang14
FachzeitschriftRenewable energy
Jahrgang118
Frühes Online-Datum31 Okt. 2017
PublikationsstatusVeröffentlicht - Apr. 2018

Abstract

Designing jacket substructures for offshore wind turbines demands numerous time domain simulations to face different combinations of wind, wave, and current states. Regarding sophisticated design methods incorporating structural optimization algorithms, a load set reduction is highly desirable. To obtain knowledge about the required size of the design load set, a study on fatigue limit state load sets is conducted, which addresses mainly two aspects. The first one is a statistical evaluation of random subsets derived from probabilistic load sets with realistic environmental data obtained from the research platform FINO3. A full set comprising 2048 load simulations is gradually reduced to subsets and the results are compared to each other. The second aspect is a systematic load set reduction with the assumption of unidirectional wind, waves, and current. Firstly, critical directions are determined. Then, unidirectional load sets are systematically reduced. The corresponding damages are compared to those obtained from probabilistic load sets for eight test structures. It is shown that the omission of wind-, wave-, and current-misalignment does not necessarily imply an excessive simplification, if considered wisely. The outcome of this study can be used to decrease the numerical effort of the jacket design process and the levelized costs of energy.

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A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures. / Häfele, Jan; Hübler, Clemens; Gebhardt, Cristian Guillermo et al.
in: Renewable energy, Jahrgang 118, 04.2018, S. 99-112.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Häfele J, Hübler C, Gebhardt CG, Rolfes R. A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures. Renewable energy. 2018 Apr;118:99-112. Epub 2017 Okt 31. doi: 10.1016/j.renene.2017.10.097
Häfele, Jan ; Hübler, Clemens ; Gebhardt, Cristian Guillermo et al. / A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures. in: Renewable energy. 2018 ; Jahrgang 118. S. 99-112.
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abstract = "Designing jacket substructures for offshore wind turbines demands numerous time domain simulations to face different combinations of wind, wave, and current states. Regarding sophisticated design methods incorporating structural optimization algorithms, a load set reduction is highly desirable. To obtain knowledge about the required size of the design load set, a study on fatigue limit state load sets is conducted, which addresses mainly two aspects. The first one is a statistical evaluation of random subsets derived from probabilistic load sets with realistic environmental data obtained from the research platform FINO3. A full set comprising 2048 load simulations is gradually reduced to subsets and the results are compared to each other. The second aspect is a systematic load set reduction with the assumption of unidirectional wind, waves, and current. Firstly, critical directions are determined. Then, unidirectional load sets are systematically reduced. The corresponding damages are compared to those obtained from probabilistic load sets for eight test structures. It is shown that the omission of wind-, wave-, and current-misalignment does not necessarily imply an excessive simplification, if considered wisely. The outcome of this study can be used to decrease the numerical effort of the jacket design process and the levelized costs of energy.",
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N1 - Funding information: [ We gratefully acknowledge the financial support of the German Federal Ministry for Economic Affairs and Energy (research project Gigawind life, FKZ 0325575A ), the Lower Saxony Ministry of Science and Culture (research project ventus efficiens, FKZ ZN3024 ) and the European Commission (research project IRPWind, funded from the European Union's Seventh Framework Programme for research, technological development, and demonstration under grant agreement number 609795 ) that enabled this work. This work was supported by the compute cluster which is funded by the Leibniz Universität Hannover , the Lower Saxony Ministry of Science and Culture (MWK), and the German Research Foundation (DFG) .

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